Distribution Network Optimization Model of Industrial Park with Distributed Energy Resources under the Carbon Neutral Targets

Taking an industrial park as an example, this study aims to analyze the characteristics of a distribution network that incorporates distributed energy resources (DERs). The study begins by summarizing the key features of a distribution network with DERs based on recent power usage data. To predict a...

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Vydáno v:Energy engineering Ročník 120; číslo 12; s. 2741 - 2760
Hlavní autoři: Yu, Xiaobao, Yang, Kang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Atlanta Tech Science Press 2023
Témata:
Algorithms
Back propagation
Constraints
Energy resources
Energy sources
Industrial parks
Maintenance costs
Network management systems
Optimization models
Power consumption
Resource utilization
ISSN:1546-0118, 0199-8595, 1546-0118
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Shrnutí:Taking an industrial park as an example, this study aims to analyze the characteristics of a distribution network that incorporates distributed energy resources (DERs). The study begins by summarizing the key features of a distribution network with DERs based on recent power usage data. To predict and analyze the load growth of the industrial park, an improved back-propagation algorithm is employed. Furthermore, the study classifies users within the industrial park according to their specific power consumption and supply requirements. This user segmentation allows for the introduction of three constraints: node voltage, wire current, and capacity of DERs. By incorporating these constraints, the study constructs an optimization model for the distribution network in the industrial park, with the objective of minimizing the total operation and maintenance cost. The primary goal of these optimizations is to address the needs of DERs connected to the distribution network, while simultaneously mitigating their potential adverse impact on the network. Additionally, the study aims to enhance the overall energy efficiency of the industrial park through more efficient utilization of resources.
ISSN:1546-0118
0199-8595
1546-0118
DOI:10.32604/ee.2023.028041